Скачать или смотреть Drone Image and Video Segmentation in Python OpenCV Code (NIR + NDVI)

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A video showcasing image segmentation for NDVI image processing using OpenCV in Python applied on Near-Infrared drone images and video. This procedure is very useful for accurate scaling of NDVI in the region of interest, the vegetation of the image, and removing the background so as to focus on the NDVI of plant material only.

Segmentation of true color images in HSV color space can is applied to Near-Infrared drone photography in the imaging of the near-infrared reflectance of plants. By applying a threshold in the interpreted red band we can separate the vegetation, taken in the NIR, from the background.

Processing this image takes time, especially in RAW format, and in areas where there is more concrete and rock than vegetation much of the processing seems redundant as we usually do not care about NDVI scaling of rock.

Processing NDVI in the threshold region of interest meanwhile saves a lot of processing time and creates a more precise examination of NDVI with respect to the color key

The potential for detecting plants in an image or video is also a field of interest for us in plant exploration and detection in desert regions and for plant counting by techniques such as ring detection.

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